A long-term, gridded, subsurface physical oceanography dataset and average annual cycles derived from in situ measurements off the Western Australia coast during 2009-2020

This article reviewed dataset collected from an array of 12 coastal Integrated Marine Observing System (IMOS) moorings off the southwest coast of Western Australia (WA) during 2009-2020, at depths ranging from 47 m to 500 m. The dataset includes temperatures and salinities collected with Seabird SBE37 and SBE39 sensors and Water Quality Monitor (WQM). Velocities were collected by Teledyne RDI Acoustic Doppler Current Profilers (ADCP) and Nortek ADCPs. Here, a daily gridded in-situ subsurface temperature, salinity and ocean currents, and their average annual cycles are presented. Monthly data are also included. This integrated dataset provides an overview of data availability and allows users to have a quick access to the mooring data, without the need of manipulating over one thousand files individually. This unique dataset offers an invaluable baseline perspective on physical water column properties and temporal variability in WA coastal waters. The data can be used to characterise subsurface features of extreme events such as marine heat waves, marine cold-spells, and to detect long-term change signals along WA coast, influenced by the Leeuwin Current and the wind-driven Capes Current. Here, first version of gridded in-situ subsurface climatological daily and monthly mean temperature, salinity and velocity, was calculated from those deployments. In addition, daily and monthly gridded time series dataset is also available. The data is collected by suite of moorings. It has a mix of Seabird Electronics SBE’37 temperature sensors, Seabird Electronics SBE39’s, Wetlabs Water Quality Meter (WQM), Teledyne RDI Workhorse Sentinel 600kHz and Nortek Continental ADCP instruments. Here, first version of gridded in-situ subsurface climatological daily and monthly mean temperature, salinity and velocity, was calculated from those deployments. In addition, daily and monthly gridded time series dataset is also available.